QUANTITATIVE CORE

定量核心

• 批准号: 7681748
• 负责人: Kevin L. Delucchi
• 金额: $ 35.16万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7681748
• 关键词: Behavior; Clinical Trials; Collection; Complex; Computers; Consultations; Cost Effectiveness Analysis; Data; Data Set; Economic Models; Economics; Health Care Costs; Health Services Research; Methodology; Nature; Participant; Patients; Research; Resources; Risk Factors; Security; Structure; Time; Treatment outcome; Work; cost; cost effectiveness; data management; innovation; treatment center

The Quantitative Core of the Treatment Research Center (TRC) provides full and ongoing supports for three central and critical activities of the Center; data management, statistical, and economic analysis. The specific aims of this Core are; (1) To provide data management by supplying the structure, support, coordination and oversight for collection, computer entry, and tracking of research data including the security and integrity of all TRC data. (2) To provide methodological consultation and biostatistical analyses for each component. (3) To assess the cost of innovative treatments and the impact of the innovations on other health care costs incurred by study participants and to value treatment outcomes using economic models and to combine these data in cost-effectiveness analyses. By the very nature of our work this Core is intimately tied to the theme of the TRC as a key resource for all proposed TRC components and the cross-component integrative studies. Research on the behaviors of complex patients require the collection, management, and analysis of complex datasets. In concert with the theme we use rigorous methodology, much of it derived from clinical trials, combine efficacy and cost-effectiveness analysis, do work that bridges the gap between treatment and services research and analyze relations between multiple risk factors, both as predictors and time dependent covariates. This Core supplies the quantitative activities of all component studies and integrates its work with the Scientific and Administrative Core.

治疗研究中心（TRC）的定量核心为该中心的三个中心和关键活动提供了全面的支持；数据管理，统计和经济分析。该核心的具体目的是： （1）通过为收集，计算机输入和跟踪研究数据的结构，支持，协调和监督提供数据管理，包括所有TRC数据的安全性和完整性。 （2）为每个组件提供方法论咨询和生物统计分析。 （3）评估创新治疗的成本以及创新对研究参与者产生的其他医疗保健费用的影响，并使用经济模型对治疗结果进行评估，并将这些数据结合在成本效益分析中。根据我们工作的本质，这种核心与TRC的主题密切相关，这是所有提出的TRC组件和跨组件综合研究的关键资源。对复杂患者的行为的研究需要对复杂数据集进行收集，管理和分析。与主题一致，我们使用严格的方法，其中大部分源自临床试验，结合功效和成本效益分析，确实弥合了治疗与服务研究之间的差距以及分析多个风险因素之间的差距，包括预测因素和时间依赖时间的协变量。该核心提供了所有组件研究的定量活动，并将其工作与科学和行政核心相结合。